vercel-common-errors
Skills（SKILL.md）は、AIエージェント（Claude Code、Cursor、Codexなど）に特定の能力を追加するための設定ファイルです。
詳しく見る →vercel-common-errors
webflow-incident-runbook
windsurf-data-handling
windsurf-prod-checklist
Provides cryptography attack techniques for CTF challenges. Use when attacking encryption, hashing, signatures, ZKP, PRNG, or mathematical crypto problems involving RSA, AES, ECC, lattices, LWE, CVP, number theory, Coppersmith, Pollard, Wiener, padding oracle, GCM, key derivation, or stream/block cipher weaknesses.
PDF manipulation toolkit. Extract text/tables, create PDFs, merge/split, fill forms, for programmatic document processing and analysis.
Detects and prevents data leakage in machine learning and mathematical modeling. Use after ML tasks involving data cleaning, feature engineering, data augmentation, algorithm development, normalization, missing value imputation, dimensionality reduction, feature selection, or time series modeling. Checks if features/statistics would be available at prediction time.
Use when diagnosing stale or orphaned Node.js processes launched by VCO, auditing ownership/liveness, or safely simulating cleanup without touching external Node workloads.
Statistics, probability, linear algebra, and mathematical foundations for data science
Clarify ambiguous requirements through focused dialogue before implementation. Use when requirements are unclear, features are complex (>2 days), or involve cross-team coordination. Ask two core questions - Why? (YAGNI check) and Simpler? (KISS check) - to ensure clarity before coding.
Use ONLY when the user explicitly says: 'use the skill web-to-markdown ...' (or 'use a skill web-to-markdown ...'). Converts webpage URLs to clean Markdown by calling the local web2md CLI (Puppeteer + Readability), suitable for JS-rendered pages.
Configure OpenTelemetry distributed tracing, metrics, and logging in ASP.NET Core using the .NET OpenTelemetry SDK. Use when adding observability, setting up OTLP exporters, creating custom metrics/spans, or troubleshooting distributed trace correlation.
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Provides dependency management strategies for Golang projects including go.mod management, installing/upgrading packages, semantic versioning, Minimal Version Selection, vulnerability scanning, outdated dependency tracking, dependency size analysis, automated updates with Dependabot/Renovate, conflict resolution, and dependency graph visualization. Use this skill whenever adding, removing, updating, or auditing Go dependencies, resolving version conflicts, setting up automated dependency updates, analyzing binary size, or working with go.work workspaces.
Monadic types for Golang using samber/mo — Option, Result, Either, Future, IO, Task, and State types for type-safe nullable values, error handling, and functional composition with pipeline sub-packages. Apply when using or adopting samber/mo, when the codebase imports `github.com/samber/mo`, or when considering functional programming patterns as a safety design for Golang.
Reactive streams and event-driven programming in Golang using samber/ro — ReactiveX implementation with 150+ type-safe operators, cold/hot observables, 5 subject types (Publish, Behavior, Replay, Async, Unicast), declarative pipelines via Pipe, 40+ plugins (HTTP, cron, fsnotify, JSON, logging), automatic backpressure, error propagation, and Go context integration. Apply when using or adopting samber/ro, when the codebase imports github.com/samber/ro, or when building asynchronous event-driven pipelines, real-time data processing, streams, or reactive architectures in Go. Not for finite slice transforms (-> See golang-samber-lo skill).
Guides Docker, CI/CD pipelines, deployment strategies, infrastructure as code, and observability setup. Use when writing Dockerfiles, configuring GitHub Actions, planning deployments, setting up monitoring, or when asked about containers, pipelines, Terraform, or production infrastructure.
Implements error handling patterns, structured logging, retry strategies, circuit breakers, and graceful degradation. Use when designing error handling, setting up logging, implementing retries, adding error tracking, or when asked about error boundaries, log aggregation, alerting, or resilience patterns.
当面对 2 个以上可以独立进行、无共享状态或顺序依赖的任务时使用
AI-powered browser automation using the AIPex Chrome Extension via MCP bridge. Use this skill when the agent needs to control a Chrome browser — navigating pages, clicking elements, filling forms, capturing screenshots, managing tabs, or downloading content — by connecting to the AIPex MCP bridge.
Assists in writing high-quality content by conducting research, adding citations, improving hooks, iterating on outlines, and providing real-time feedback on each section. Transforms your writing process from solo effort to collaborative partnership.
Orchestrate iOS screenshot automation with xcodebuild/simctl for build-run, AXe for UI actions, JSON settings and plan files, Koubou-based framing (`asc screenshots frame`), and screenshot upload (`asc screenshots upload`). Use when users ask for automated screenshot capture, AXe-driven simulator flows, frame composition, or screenshot-to-upload pipelines.
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Expert knowledge for Azure Advisor development including best practices, decision making, limits & quotas, security, configuration, and integrations & coding patterns. Use when configuring Advisor alerts, workbooks, Resource Graph/Kusto queries, RBAC access, or sovereign cloud support, and other Azure Advisor related development tasks. Not for Azure Cost Management (use azure-cost-management), Azure Monitor (use azure-monitor), Azure Policy (use azure-policy), Azure Defender For Cloud (use azure-defender-for-cloud).
Expert knowledge for Azure Kubernetes Service Edge Essentials development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when managing AKS Edge/Arc clusters, Arc connectivity, IoT/OPC/ONVIF edge workloads, TPM/Key Vault, or AI model deploys, and other Azure Kubernetes Service Edge Essentials related development tasks. Not for Azure Kubernetes Service (AKS) (use azure-kubernetes-service), Azure IoT Edge (use azure-iot-edge), Azure Stack Edge (use azure-stack-edge), Azure Container Apps (use azure-container-apps).
Expert knowledge for Azure Artifacts development including best practices, decision making, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when managing feeds, upstream sources, package publishing/restore, GitHub Actions CI/CD, or npm/NuGet config, and other Azure Artifacts related development tasks. Not for Azure DevOps (use azure-devops), Azure Pipelines (use azure-pipelines), Azure Repos (use azure-repos), Azure Boards (use azure-boards).
Expert knowledge for Azure Batch development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when configuring Batch pools/tasks, autoscale, Spot VMs, CI/CD job deployment, or render/MPI workloads, and other Azure Batch related development tasks. Not for Azure HDInsight (use azure-hdinsight), Azure Databricks (use azure-databricks), Azure Kubernetes Service (AKS) (use azure-kubernetes-service), Azure Virtual Machines (use azure-virtual-machines).
Expert knowledge for Azure Communication Services development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when building ACS calling/chat apps, PSTN/phone numbers, SMS/email, Teams interop, or Job Router workloads, and other Azure Communication Services related development tasks. Not for Azure AI Bot Service (use azure-bot-service), Azure Notification Hubs (use azure-notification-hubs), Azure Web PubSub (use azure-web-pubsub), Azure SignalR Service (use azure-signalr-service).
Expert knowledge for Azure Cosmos DB development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when using Cosmos DB NoSQL/Mongo/Cassandra APIs, change feed, vector search, global distribution, or HTAP/analytics workloads, and other Azure Cosmos DB related development tasks. Not for Azure Table Storage (use azure-table-storage), Azure SQL Database (use azure-sql-database), Azure Database for MySQL (use azure-database-mysql), Azure Database for PostgreSQL (use azure-database-postgresql).
Expert knowledge for Azure Data Api Builder development including troubleshooting, best practices, decision making, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when defining DAB entities over SQL/Cosmos, exposing REST/GraphQL, securing auth/RLS, or deploying via Docker/Azure, and other Azure Data Api Builder related development tasks. Not for Azure API Management (use azure-api-management), Azure Functions (use azure-functions), Azure App Service (use azure-app-service), Azure Logic Apps (use azure-logic-apps).
Expert knowledge for Azure Data Explorer development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when configuring ADX auth/RBAC and private endpoints, streaming/queued ingestion, follower DBs, or Power BI integration, and other Azure Data Explorer related development tasks. Not for Azure Synapse Analytics (use azure-synapse-analytics), Azure Stream Analytics (use azure-stream-analytics), Azure HDInsight (use azure-hdinsight), Azure Databricks (use azure-databricks).
Expert knowledge for Azure Data Factory development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when designing ADF pipelines, Mapping Data Flows, SHIR/SSIS IR, secure VNet/Private Link setups, or CI/CD deployments, and other Azure Data Factory related development tasks. Not for Azure Synapse Analytics (use azure-synapse-analytics), Azure Databricks (use azure-databricks), Azure Stream Analytics (use azure-stream-analytics), Azure Data Explorer (use azure-data-explorer).
Expert knowledge for Azure Databricks development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when using Unity Catalog, Lakehouse/Lakebase, Lakeflow pipelines, Vector Search/RAG, or model serving, and other Azure Databricks related development tasks. Not for Azure Synapse Analytics (use azure-synapse-analytics), Azure HDInsight (use azure-hdinsight), Azure Machine Learning (use azure-machine-learning), Azure Data Factory (use azure-data-factory).
Expert knowledge for Azure Digital Twins development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when modeling with DTDL, querying twin graphs, integrating IoT Hub/Functions, or migrating control plane APIs, and other Azure Digital Twins related development tasks. Not for Azure IoT Hub (use azure-iot-hub), Azure IoT Central (use azure-iot-central), Azure IoT Edge (use azure-iot-edge), Azure IoT Operations (use azure-iot-operations).
Expert knowledge for Azure Firmware Analysis development including troubleshooting, best practices, limits & quotas, security, integrations & coding patterns, and deployment. Use when scanning firmware images, interpreting SBOM paths, using UEFI analysis, or automating uploads via CLI/PowerShell/Python, and other Azure Firmware Analysis related development tasks. Not for Azure Defender For Iot (use azure-defender-for-iot), Azure IoT Edge (use azure-iot-edge), Azure IoT Hub (use azure-iot-hub), Azure Confidential Computing (use azure-confidential-computing).
Expert knowledge for Azure Health Data Services development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when using FHIR, DICOM, MedTech, de-identification APIs, Synapse/ADF pipelines, or SMART on FHIR apps, and other Azure Health Data Services related development tasks. Not for Azure Health Bot (use azure-health-bot), Azure API Management (use azure-api-management), Azure Data Factory (use azure-data-factory), Azure Cosmos DB (use azure-cosmos-db).
Expert knowledge for Azure IoT Operations development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when building IoT data flows/graphs, MQTT broker setups, WASM/ONNX workloads, Akri/REST connectors, or OPC UA/MQTT security, and other Azure IoT Operations related development tasks. Not for Azure IoT (use azure-iot), Azure IoT Hub (use azure-iot-hub), Azure IoT Edge (use azure-iot-edge), Azure IoT Central (use azure-iot-central).
Expert knowledge for Azure Kubernetes Service (AKS) development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when designing AKS clusters with Fleet, Istio, Dapr, GPUs, GitOps/CI-CD, or AI/ML and Wasm workloads, and other Azure Kubernetes Service (AKS) related development tasks. Not for Azure Container Apps (use azure-container-apps), Azure Container Instances (use azure-container-instances), Azure Red Hat OpenShift (use azure-redhat-openshift), Azure Virtual Machine Scale Sets (use azure-vm-scalesets).
Expert knowledge for Azure Load Balancer development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when configuring frontends/backends, SNAT/outbound rules, health probes, NAT rules v2, or IMDS/Monitor integrations, and other Azure Load Balancer related development tasks. Not for Azure Application Gateway (use azure-application-gateway), Azure Traffic Manager (use azure-traffic-manager), Azure Front Door (use azure-front-door), Azure Virtual Network (use azure-virtual-network).
Expert knowledge for Azure Policy development including troubleshooting, best practices, decision making, security, configuration, integrations & coding patterns, and deployment. Use when authoring Machine Configuration packages, deploying via ARM/Bicep/Terraform, enforcing security baselines, migrating from DSC, or querying compliance with Resource Graph, and other Azure Policy related development tasks. Not for Azure Blueprints (use azure-blueprints), Azure Role-based access control (use azure-rbac), Azure Resource Manager (use azure-resource-manager), Azure Security (use azure-security).
Expert knowledge for Azure Resource Graph development including troubleshooting, best practices, decision making, limits & quotas, configuration, and integrations & coding patterns. Use when querying via CLI/PowerShell/REST, using GET/LIST vs Query APIs, shared queries, alerts, or Power BI, and other Azure Resource Graph related development tasks. Not for Azure Monitor (use azure-monitor), Azure Policy (use azure-policy), Azure Resource Manager (use azure-resource-manager), Azure Portal (use azure-portal).
Expert knowledge for Azure Site Recovery development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when planning ASR for VMware/Hyper‑V, automating vaults via ARM/Bicep/Terraform, or designing DR for SQL/SAP/AD workloads, and other Azure Site Recovery related development tasks. Not for Azure Backup (use azure-backup), Azure Migrate (use azure-migrate), Azure Virtual Machines (use azure-virtual-machines), Azure Virtual Machine Scale Sets (use azure-vm-scalesets).
Expert knowledge for Azure Synapse Analytics development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when designing Synapse workspaces, Spark pools, dedicated/serverless SQL, Delta Lake, or Synapse Link workloads, and other Azure Synapse Analytics related development tasks. Not for Azure Data Factory (use azure-data-factory), Azure Data Explorer (use azure-data-explorer), Azure Databricks (use azure-databricks), Azure HDInsight (use azure-hdinsight).
Expert knowledge for Azure Virtual Machines development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when choosing VM/managed disk SKUs, configuring scale sets, Trusted Launch, ADE/CMK encryption, or HPC/GPU workloads, and other Azure Virtual Machines related development tasks. Not for Azure Data Science Virtual Machines (use azure-data-science-vm), Azure Virtual Machine Scale Sets (use azure-vm-scalesets), SQL Server on Azure Virtual Machines (use azure-sql-virtual-machines), Azure Cloud Services (use azure-cloud-services).
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Guides visual identity for consistent brand presentation. Companies with consistent branding see up to 23-33% revenue lift; 94% of consumers say consistency influences buying decisions.
Guides internal linking strategy for SEO: crawlability, link equity distribution, and user navigation.
Guides configuration and auditing of robots.txt for search engine and AI crawler control.